We introduce a new bias for rule learning systems. The bias only allows a rule learner to create a rule that predicts class membership if each test of the rule in isolation is pred...
We aim to advance the understanding of individual security decision-making, by combining formal and behavioral analysis. We sketch a game-theoretic model of security decision-maki...
Most theoretical models of inductive inference make the idealized assumption that the data available to a learner is from a single and accurate source. The subject of inaccuracies ...
In this paper, we consider the problem of community detection in directed networks by using probabilistic models. Most existing probabilistic models for community detection are ei...
Reducing power, on both a per cycle basis and as the total energy used over the lifetime of an application, has become more important as small and embedded devices become increasi...